Stan Language Reference Manual

The manual for Stan’s programming language for coding probability models, inference algorithms for fitting models and making predictions, and posterior analysis tools for evaluating the results. This manual applies to all Stan interfaces.

Stan Language Functions Reference

The reference for the functions defined in the Stan math library and available in the Stan programming language. For versions 2.17 and earlier, this is part of the Stan Reference Manual.

Bayesian Statistics Using Stan

This book is the official user’s guide for Stan. It provides example models and programming techniques for coding statistical models in Stan. It also serves as an example-driven introduction to Bayesian modeling and inference. For version 2.18, this is titled Stan User’s Guide. For versions 2.17 and earlier, this is part of the Stan Reference Manual.


The Stan development team and many users have contributed tutorials aimed at introducing users to various aspects of statistical modeling with Stan, both in written and visual formats. These tutorials can be found at

Case Studies and Notebooks

Case studies provide longer, more-detailed discussion of various applications, models, and methodologies. Each case study is written in knitr or Jupyter notebooks so that the discussion is accompanied with working code. Case studies written or validated by the Stan development team can be found at

The proceedings of each Stan Conference also take the form of self-contained notebooks. Contributions for each conference can be found in their corresponding GibHub repository:

Specialized Field Guides

Tutorials, case studies, software packages, and publications related to specific fields.

GitHub Stan Developer Wiki

The Stan Wiki is largely focused on development documentation but it also includes a few pages with helpful information for users.

Two particularly recommended pages are

The Stan Forums

The most up to date discussion of modeling techniques and computational issues if often found in the Stan Forums before it ends up in a case study or a paper.

Discussions prior to June 2017 are archived and public on the now deprecated Stan Users Google Group.

External References

Finally, there are many works that elaborate on aspects of Stan from algorithms to applications. Some of the more relevant references can be found at